Data Migration – A Methodical Approach
Data Migration – A Methodical Approach, available at $19.99, has an average rating of 4.08, with 30 lectures, 7 quizzes, based on 30 reviews, and has 120 subscribers.
You will learn about Understand the key phases and steps involved in a data migration project. Gain an understanding of the different types of data mapping techniques and when to use them effectively. Develop skills in creating and maintaining necessary documentation throughout the data migration process. Learn best practices for testing and validating migrated data to ensure accuracy and completeness. This course is ideal for individuals who are This course is intended for any individuals involved in post-merger/acquisition data migration projects. The content is relevant to both top executives as well as members of the project team. It is particularly useful for This course is intended for any individuals involved in post-merger/acquisition data migration projects. The content is relevant to both top executives as well as members of the project team.
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Summary
Title: Data Migration – A Methodical Approach
Price: $19.99
Average Rating: 4.08
Number of Lectures: 30
Number of Quizzes: 7
Number of Published Lectures: 30
Number of Published Quizzes: 7
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 37
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand the key phases and steps involved in a data migration project.
- Gain an understanding of the different types of data mapping techniques and when to use them effectively.
- Develop skills in creating and maintaining necessary documentation throughout the data migration process.
- Learn best practices for testing and validating migrated data to ensure accuracy and completeness.
Who Should Attend
- This course is intended for any individuals involved in post-merger/acquisition data migration projects. The content is relevant to both top executives as well as members of the project team.
Target Audiences
- This course is intended for any individuals involved in post-merger/acquisition data migration projects. The content is relevant to both top executives as well as members of the project team.
Although the content has been developed with the financial services industry in mind, the concepts can successfully be applied to most industries.
The purpose of a Data Migration Project following an acquisition in the Financial Services industry is to ensure a smooth transition of data from the acquired company’s systems to the acquiring company’s systems. The goal is to consolidate all data into a unified system to provide a comprehensive view of the newly merged company’s operations.
Data migration projects are complex and require a well-defined strategy to minimize risks associated with data loss, corruption, or inconsistencies. The project aims to ensure that all the data from the acquired company is accurately and completely transferred to the acquiring company’s systems, including customer data, transactional data, financial data, and other relevant information.
The successful completion of a data migration project post-acquisition is crucial for the long-term success of the merged company. It ensures the seamless integration of the acquired company into the acquiring company’s operations, minimizes disruptions to customer accounts and services, and facilitates compliance with regulatory requirements. Additionally, it can lead to cost savings, improved efficiencies, and increased revenue opportunities. Proper data migration is crucial in a financial services M&A as it affects the success of the entire integration process.
In summary, the business need driving a migration effort will determine the specific outcomes the organization hopes to achieve. These outcomes include improved efficiency, enhanced analytics, increased agility, and other benefits that can ultimately lead to a more competitive and successful organization.
The scope of data migration projects will depend on the specific details of the acquisition and the systems used at both the acquiring and acquired banks. It is important to carefully plan and execute each data migration project to ensure the two banks’ smooth and successful integration.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome to the Course
Chapter 2: Course Overview
Lecture 1: Overview – Part 1
Lecture 2: Overview – Part 2
Chapter 3: Knowledge Area #1 – ETL, Profiling & Transformation
Lecture 1: ETL Process
Lecture 2: Data Profiling
Lecture 3: Data Transformation
Chapter 4: Knowledge Area #2 – Cleansing & Exclusion
Lecture 1: Data Cleansing – Part 1
Lecture 2: Data Cleansing – Part 2
Lecture 3: Data Exclusion – Part 1
Lecture 4: Data Exclusion – Part 2
Lecture 5: Data Exclusion – Part 3
Chapter 5: Knowledge Area #3 – Data Mapping & Validation
Lecture 1: Data Mapping – Part 1
Lecture 2: Data Mapping – Part 2
Lecture 3: Data Mapping – Part 3
Lecture 4: Data Mapping – Part 4
Lecture 5: Data Validation – Part 1
Lecture 6: Data Validation – Part 2
Chapter 6: The Journey
Lecture 1: Data Migration Journey
Lecture 2: Management OKRs
Lecture 3: Data Documentation
Chapter 7: Testing
Lecture 1: Testing Through the Migration
Lecture 2: Unit Testing
Lecture 3: System Testing
Lecture 4: User Acceptance Testing
Lecture 5: Non-Functional Testing
Lecture 6: Data Migration Testing
Chapter 8: Case Studies
Lecture 1: Introduction & Disclaimer
Lecture 2: RBS-NatWest Merger
Lecture 3: TBS Acquisition
Lecture 4: Root Cause Analysis
Instructors
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M Nahid Rahman
Project Strategy, Training Design, Regulatory Compliance
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 3 votes
- 3 stars: 6 votes
- 4 stars: 8 votes
- 5 stars: 12 votes
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